Machine learning models for predicting geomagnetic storms across five solar cycles using Dst index and heliospheric variables.

MLA

Sierra-Porta, D., et al. “Machine Learning Models for Predicting Geomagnetic Storms across Five Solar Cycles Using Dst Index and Heliospheric Variables.” Advances in Space Research, vol. 74, no. 8, Oct. 2024, pp. 3483–95. EBSCOhost, https://doi.org/10.1016/j.asr.2024.08.031.

APA

Sierra-Porta, D., Petro-Ramos, J. D., Ruiz-Morales, D. J., Herrera-Acevedo, D. D., García-Teheran, A. F., & Tarazona Alvarado, M. (2024). Machine learning models for predicting geomagnetic storms across five solar cycles using Dst index and heliospheric variables. Advances in Space Research, 74(8), 3483–3495. https://doi.org/10.1016/j.asr.2024.08.031

Chicago

Sierra-Porta, D., J.D. Petro-Ramos, D.J. Ruiz-Morales, D.D. Herrera-Acevedo, A.F. García-Teheran, and M. Tarazona Alvarado. 2024. “Machine Learning Models for Predicting Geomagnetic Storms across Five Solar Cycles Using Dst Index and Heliospheric Variables.” Advances in Space Research 74 (8): 3483–95. doi:10.1016/j.asr.2024.08.031.